Amelia Villegas-Morcillo
Citado por
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Unsupervised protein embeddings outperform hand-crafted sequence and structure features at predicting molecular function
A Villegas-Morcillo, S Makrodimitris, RCHJ van Ham, AM Gomez, ...
Bioinformatics 37 (2), 162-170, 2021
End-to-end prediction of protein-protein interaction based on embedding and recurrent neural networks
F Gonzalez-Lopez, JA Morales-Cordovilla, A Villegas-Morcillo, ...
2018 IEEE International Conference on Bioinformatics and Biomedicine (BIBM …, 2018
An analysis of protein language model embeddings for fold prediction
A Villegas-Morcillo, AM Gomez, V Sanchez
Briefings in Bioinformatics 23 (3), bbac142, 2022
Protein fold recognition from sequences using convolutional and recurrent neural networks
A Villegas-Morcillo, AM Gomez, JA Morales-Cordovilla, V Sanchez
IEEE/ACM Transactions on Computational Biology and Bioinformatics 18 (6 …, 2020
FoldHSphere: deep hyperspherical embeddings for protein fold recognition
A Villegas-Morcillo, V Sanchez, AM Gomez
BMC bioinformatics 22 (1), 1-21, 2021
So ManyFolds, So Little Time: Efficient Protein Structure Prediction With pLMs and MSAs
TD Barrett, A Villegas-Morcillo, L Robinson, B Gaujac, D Admete, ...
bioRxiv, 2022.10. 15.511553, 2022
ManyFold: an efficient and flexible library for training and validating protein folding models
A Villegas-Morcillo, L Robinson, A Flajolet, TD Barrett
Bioinformatics 39 (1), btac773, 2023
Fusion of Classical Digital Signal Processing and Deep Learning methods (FTCAPPS)
ÁM Gómez García, VE Sánchez Calle, AM Peinado Herreros, ...
ISCA-Iberspeech 2022, 2022
Improved Protein Residue-Residue Contact Prediction Using Image Denoising Methods
A Villegas-Morcillo, JA Morales-Cordovilla, AM Gomez, V Sanchez
2018 26th European Signal Processing Conference (EUSIPCO), 1167-1171, 2018
Why Did This Model Forecast This Future? Information-Theoretic Saliency for Counterfactual Explanations of Probabilistic Regression Models
C Raman, A Nonnemaker, A Villegas-Morcillo, H Hung, M Loog
Advances in Neural Information Processing Systems 36, 2024
Guiding diffusion models for antibody sequence and structure co-design with developability properties
A Villegas-Morcillo, J Weber, M Reinders
NeurIPS 2023 Generative AI and Biology (GenBio) Workshop, 2023
Automatic identification of the protein fold type using representations from the amino acid sequence and deep learning techniques
AO Villegas Morcillo
Universidad de Granada, 2023
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Artículos 1–12